List your company
ResearchFormerly WizWand

Downstream performance prediction on HE (Heart) corrupted with Laplace noise

38.7Downstream PerformanceLassoNet + MLP
33.60434.92736.2537.573Nov 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
LassoNet + MLPCorruption percentage (%)=502023.1138.74.45
AM + MLPCorruption percentage (%)=502023.1138.73.91
XGBoost + MLPCorruption percentage (%)=502023.1138.52.64
AGL + MLPCorruption percentage (%)=502023.1138.43.36
Deep Lasso + MLPCorruption percentage (%)=502023.1138.31.91
AGL + MLPCorruption percentage (%)=752023.1138.23.09
XGBoost + MLPCorruption percentage (%)=752023.11382
RF + MLPCorruption percentage (%)=502023.1137.95
1L Lasso + MLPCorruption percentage (%)=502023.1137.83.09
Deep Lasso + MLPCorruption percentage (%)=752023.1137.72
Lasso + MLPCorruption percentage (%)=752023.1137.64.36
LassoNet + MLPCorruption percentage (%)=752023.1137.55.09
Lasso + MLPCorruption percentage (%)=502023.1137.46.55
No FS + MLPCorruption percentage (%)=502023.1137.28.27
1L Lasso + MLPCorruption percentage (%)=752023.1137.23.73
RF + MLPCorruption percentage (%)=752023.1136.74.45
No FS + MLPCorruption percentage (%)=752023.1135.77.73
Univariate + MLPCorruption percentage (%)=502023.1134.57
Univariate + MLPCorruption percentage (%)=752023.1133.87.64